docs: def kamada_kawai(self,defaultEdgeWeight=None,EdgeAttribute=None,\
  		m_anticollisionSpringStrength=None,m_averageIterationsPerNode=None,\
  		m_disconnectedNodeDistanceSpringRestLength=None,\
  		m_disconnectedNodeDistanceSpringStrength=None,m_layoutPass=None,\
  		m_nodeDistanceRestLengthConstant=None,m_nodeDistanceStrengthConstant=None,\
  		maxWeightCutoff=None,minWeightCutoff=None,network=None,NodeAttribute=None,\
  		nodeList=None,randomize=None,singlePartition=None,Type=None,unweighted=None,\
  		verbose=None):
  		"""
  		Execute the Edge-weighted Spring Embedded Layout on a network.
  
  		:param defaultEdgeWeight (string, optional): The default edge weight to con
  			sider, default is 0.5
  		:param EdgeAttribute (string, optional): The name of the edge column contai
  			ning numeric values that will be used as weights in the layout algor
  			ithm. Only columns containing numeric values are shown
  		:param m_anticollisionSpringStrength (string, optional): Strength to apply
  			to avoid collisions, in numeric value
  		:param m_averageIterationsPerNode (string, optional): Average number of ite
  			ratations for each node, in numeric value
  		:param m_disconnectedNodeDistanceSpringRestLength (string, optional): Rest
  			length of a 'disconnected' spring, in numeric value
  		:param m_disconnectedNodeDistanceSpringStrength (string, optional): Strengt
  			h of a 'disconnected' spring, in numeric value
  		:param m_layoutPass (string, optional): Number of layout passes, in numeric
  				value
  		:param m_nodeDistanceRestLengthConstant (string, optional): Spring rest len
  			gth, in numeric value
  		:param m_nodeDistanceStrengthConstant (string, optional): Spring strength,
  			in numeric value
  		:param maxWeightCutoff (string, optional): The maximum edge weight to consi
  			der, default to the Double.MAX value
  		:param minWeightCutoff (string, optional): The minimum edge weight to consi
  			der, numeric values, default is 0
  		:param network (string, optional): Specifies a network by name, or by SUID
  			if the prefix SUID: is used. The keyword CURRENT, or a blank value c
  			an also be used to specify the current network.
  		:param NodeAttribute (string, optional): The name of the node column contai
  			ning numeric values that will be used as weights in the layout algor
  			ithm. Only columns containing numeric values are shown
  		:param nodeList (string, optional): Specifies a list of nodes. The keywords
  				all, selected, or unselected can be used to specify nodes by their
  			selection state. The pattern COLUMN:VALUE sets this parameter to any
  				rows that contain the specified column value; if the COLUMN prefix
  			is not used, the NAME column is matched by default. A list of COLUMN
  			:VALUE pairs of the format COLUMN1:VALUE1,COLUMN2:VALUE2,... can be
  			used to match multiple values.
  		:param randomize (string, optional): Randomize graph before layout; boolean
  				values only, true or false; defaults to true
  		:param singlePartition (string, optional): Don't partition graph before lay
  			out; boolean values only, true or false; defaults to false
  		:param Type (string, optional): How to interpret weight values; must be one
  				of Heuristic, -Log(value), 1 - normalized value and normalized valu
  			e. Defaults to Heuristic = ['Heuristic', '-Log(value)', '1 - normali
  			zed value', 'normalized value']
  		:param unweighted (string, optional): Use unweighted edges; boolean values
  			only, true or false; defaults to false
  		"""
  		network=check_network(self,network,verbose=verbose)
  		PARAMS=set_param(['defaultEdgeWeight','EdgeAttribute',\
  		'm_anticollisionSpringStrength','m_averageIterationsPerNode',\
  		'm_disconnectedNodeDistanceSpringRestLength',\
  		'm_disconnectedNodeDistanceSpringStrength','m_layoutPass',\
  		'm_nodeDistanceRestLengthConstant','m_nodeDistanceStrengthConstant',\
  		'maxWeightCutoff','minWeightCutoff','network','NodeAttribute','nodeList',\
  		'randomize','singlePartition','Type','unweighted'],[defaultEdgeWeight,\
  		EdgeAttribute,m_anticollisionSpringStrength,m_averageIterationsPerNode,\
  		m_disconnectedNodeDistanceSpringRestLength,\
  		m_disconnectedNodeDistanceSpringStrength,m_layoutPass,\
  		m_nodeDistanceRestLengthConstant,m_nodeDistanceStrengthConstant,\
  		maxWeightCutoff,minWeightCutoff,network,NodeAttribute,nodeList,randomize,\
  		singlePartition,Type,unweighted])
  		response=api(url=self.__url+"/kamada-kawai", PARAMS=PARAMS, method="POST", verbose=verbose)
  		return response